Khalim Conn-Kowlessar 008c1922c4 feat(epc-prediction): anonymised Tier-1 fixture + builder (ADR-0030) ... The committed gate needs frozen, reproducible data without dumping real UK addresses into the repo. Add: - harness anonymise_payload + stable_hash: hash street address + cert number into opaque, dedup-stable tokens; blank secondary address lines + post_town; keep postcode + all component/lodged fields (gov data is OGL). Unit-tested. - scripts/build_epc_prediction_fixture.py: curate qualifying postcodes (>=1 SAP 10.2 target + >=2 distinct addresses) from the local scratch corpus, anonymise, freeze under tests/fixtures/epc_prediction/. - The frozen fixture: 15 postcodes / 280 certs / 36 SAP-10.2 targets. Verified no plaintext address_line_1 and post_town all blank. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-06-14 09:17:27 +00:00
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__init__.py	feat(modelling): sense-check table for a Plan in the DB-less harness	2026-06-04 08:06:53 +00:00
cohort.py	feat(modelling): turnkey offline cohort script (tables + CSV)	2026-06-04 09:30:53 +00:00
console.py	17.1 and 18 done by claude	2026-06-12 12:52:36 +00:00
epc_bulk.py	feat(modelling): sample a year from the EPC bulk export, offline-ready	2026-06-04 12:20:57 +00:00
epc_prediction_corpus.py	feat(epc-prediction): anonymised Tier-1 fixture + builder (ADR-0030)	2026-06-14 09:17:27 +00:00
plan_table.py	feat(modelling): wire Valuation Uplift onto the Plan	2026-06-04 08:59:04 +00:00
report.py	feat(modelling): wire secondary-heating-removal into the pipeline (ADR-0028)	2026-06-11 16:04:07 +00:00
sample_catalogue.json	feat(modelling): cost data for secondary-heating-removal (ADR-0028)	2026-06-11 13:51:16 +00:00